Title: PARALLEL AND DISTRIBUTED EVOLUTIONARY COMPUTATION FOR FINANCIAL APPLICATIONS
Abstract: Abstract A survey of two parallel evolutionary computation techniques is presented: the genetic algorithms and genetic programming methods. An application of this approach to the induction of trading models is presented for financial assets, which is known as a hard problem. This study analyses the potential of this approach and the benefit of parallelization.
Publication Year: 2000
Publication Date: 2000-06-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 12
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